Core Python Programming – Become a Python Professional
Core Python Programming – Become a Python Professional, available at $39.99, has an average rating of 4.3, with 68 lectures, based on 17 reviews, and has 86 subscribers.
You will learn about Core Python Programming Idea about real world applications of Python Creating Projects using Python Programming Language Object Oriented Programming Concepts for Python Programming Loops in Python Datatypes in Python Operators in Python Maths Library in Python This course is ideal for individuals who are Beginners who want to build their career as a Python developer or Students who have Python Language as a Subject in College or School It is particularly useful for Beginners who want to build their career as a Python developer or Students who have Python Language as a Subject in College or School.
Enroll now: Core Python Programming – Become a Python Professional
Summary
Title: Core Python Programming – Become a Python Professional
Price: $39.99
Average Rating: 4.3
Number of Lectures: 68
Number of Published Lectures: 68
Number of Curriculum Items: 68
Number of Published Curriculum Objects: 68
Original Price: ₹5,900
Quality Status: approved
Status: Live
What You Will Learn
- Core Python Programming
- Idea about real world applications of Python
- Creating Projects using Python Programming Language
- Object Oriented Programming Concepts for Python Programming
- Loops in Python
- Datatypes in Python
- Operators in Python
- Maths Library in Python
Who Should Attend
- Beginners who want to build their career as a Python developer
- Students who have Python Language as a Subject in College or School
Target Audiences
- Beginners who want to build their career as a Python developer
- Students who have Python Language as a Subject in College or School
Syllabus – Core Python
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Introduction of Python
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Installing Python IDES – Python IDLE and Anaconda
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Writing Your First Python Program
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Data-types in Python
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Variables in Python – Declaration and Use
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Typecasting in Python
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Operators in Python – Assignment, Logical, Arithmetic etc.
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Taking User Input (Console)
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Conditional Statements – If else and Nested If else and elif
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Python Collections (Arrays) – List, Tuple, Sets and Dictionary
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Loops in Python – For Loop, While Loop & Nested Loops
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String Manipulation – Basic Operations, Slicing & Functions and Methods
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User Defined Functions – Defining, Calling, Types of Functions, Arguments
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Lambda Function
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Importing Modules – Math Module
Syllabus – Object Oriented Programming in Python
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Basics of Object Oriented Programming
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Creating Class and Object
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Constructors in Python – Parameterized and Non-parameterized
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Inheritance in Python
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In built class methods and attributes
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Multi-Level and Multiple Inheritance
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Method Overriding and Data Abstraction
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Encapsulation and Polymorphism
This course is for those professionals who want to learn python for software development, web development and data analysis.
If you don’t have fundamental knowledge of python, you cannot start software development, web development and data analysis.
Python is a free and open source programming language that is really easy to learn. Python is used in many applications and it has a potential of generating jobs. You should start learning python today.
Learn Core and Advanced Python programming with SQLITE3 and MySQL Database Administration; Create Software / Web Applications.
Course Curriculum
Chapter 1: Main Course
Lecture 1: Overview of the Core Python Course for Beginners
Lecture 2: Overview of Object Oriented Programming Part of the Course
Lecture 3: 1 Introduction of Python and Its Real world applications
Lecture 4: 2 Installing Python and writing your first program
Lecture 5: 3 Data Types in Python
Lecture 6: 4 Variables in Python
Lecture 7: Typecasting or Type Conversion in Python
Lecture 8: Typecasting or Type Conversion in Python Continued
Lecture 9: 8 Operators – Artithmetic Operators in Python
Lecture 10: 9 Assignment Operators in Python
Lecture 11: 10 Comparison Operators in Python
Lecture 12: Logical Operators in Python
Lecture 13: 11 Identity and Membership Operators main
Lecture 14: Bitwise Operators Part 1
Lecture 15: Bitwise Operator Left Shift and RIght Shift Part 2
Chapter 2: Collection Data Types – List, Tuple, Set and Dictionaries
Lecture 1: Collection Data Types – List Part 1
Lecture 2: Methods of List Class in Python
Lecture 3: Slicing in Python Lists – Get slices from list sequence
Lecture 4: Collection Data Types – Tuple in Python
Lecture 5: Collection Data Types – Set in Python
Lecture 6: Collection Data Types – Dictionary in Python Part 1
Lecture 7: Nested DIctionaries in Python Part 2
Lecture 8: Dictionary methods Part 3
Chapter 3: Loops in Python – For Loop and While Loop
Lecture 1: For Loop in Python Part 1
Lecture 2: Printing Tables using For Loop – An Example
Lecture 3: Installing Anaconda in Your Computer
Lecture 4: Nested For Loop and pass statement
Lecture 5: While Loop in Python
Chapter 4: Taking Input From Users in Python
Lecture 1: User input and if else elif part 1
Lecture 2: User Input and if, else, elif and nested if else with example
Chapter 5: User Defined Functions in Python
Lecture 1: User Defined Functions in Python Part 1
Lecture 2: User Defined Functions in Python Part 2
Lecture 3: User Defined Functions in Python Part 3
Lecture 4: Lambda Function in Python
Chapter 6: Strings in Python – Slicing and Methods
Lecture 1: Strings in Python Part 1
Lecture 2: Strip Method in Python String
Lecture 3: String Methods – lower()
Lecture 4: String Methods – upper() and capitalize()
Lecture 5: String Methods – casefold()
Lecture 6: String Methods – center()
Lecture 7: String Methods – count()
Lecture 8: String Methods – endswith()
Lecture 9: String Methods – encode() in Python
Lecture 10: String Methods – expandtabs() and find()
Lecture 11: String Methods – index isalnum isdigit isalpha method
Lecture 12: String Methods – isprintable isspace istitle
Lecture 13: String Methods – isidentifier() islower() and isnumeric()
Lecture 14: String Methods – isupper, join, lstrip and rstrip
Lecture 15: String Methods – partition()
Lecture 16: String methods – splitlines()
Lecture 17: String methods – startswith()
Lecture 18: String methods – swapcase(), title() and zfill
Chapter 7: Math module in Python
Lecture 1: Math Module in Python Part 1
Lecture 2: Math Module in Python Part 2
Lecture 3: Math Module in Python Part 3
Chapter 8: Creating your own modules in Python
Lecture 1: Creating your own module
Chapter 9: Object Oriented Programming in Python 3
Lecture 1: Creating Class and Objects in Python
Lecture 2: init Function and Modifying attributes of a class
Lecture 3: Class Constructor in Python
Lecture 4: Inheritance Concept
Lecture 5: In-built class functions
Lecture 6: In-built class attributes
Lecture 7: Inheritance continued and Multi Level Inheritance
Lecture 8: Multiple Inheritance in Python
Lecture 9: issubclass() and isinstance Method in OOP in Python
Lecture 10: Method overriding in Python
Lecture 11: Data Abstraction in Python
Lecture 12: Encapsulation and Polymorphism in Python OOP
Instructors
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Ankit Srivastava
Digital Marketing Manager and Data Analyst @ Slidescope®
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 2 votes
- 4 stars: 4 votes
- 5 stars: 10 votes
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